FIT3179 Data Visualisation 2021 Test 4 Document version 2 (11 October) with adjusted time to accommodate for the Malaysian public holiday on 19 October. Time Australia: Monday 18 Oct, 1:00 pm to Tuesday, 19 Oct, 11:59 am (noontime) AEST. Malaysia: Monday 18 Oct, 10:00 am to Tuesday, 19 Oct, 8:59 am. Test 4 is open for 45 minutes and worth 8.75% of the final mark. It consists of 20 multiple choice questions. It is an open-book test. The test is an individual assessment; any form of academic misconduct will be penalised and reported to University. Content: Test 4 covers all essential materials discussed in the pre-recorded video lectures and the streamed video lectures from Week 1 to Week 11. Essential materials are also discussed in the textbook by T. Munzer and other required reading materials listed on the weekly Moodle pages. Test 4 will not include questions about materials that are only included in the weekly “Optional Readings”. Test 4 also covers the following topics introduced during studio hours: HTML, CSS, JavaScript, and Vega-Lite. You will not be asked to create a Vega-Lite visualisation, but you may be asked to analyse Vega-Lite code. Below is a listing of the assessable content discussed during lectures sorted by weeks. 1. Data visualisation definition, data types, marks and channels, channels for quantitative and qualitative data Textbook chapters 1.1 to 1.6, 2, 5 2. Table idioms 1 Textbook chapter 7 (pages 146–148, 150–153, 155–157, 168–170), scans from Kirk 2019 on Moodle. 3. Data-ink ratio, chart junk, how to lie with data vis, storytelling, five design sheet methodology Required reading by National Geographic on Moodle 4. Colour, gestalt, visual hierarchy and figure-ground, layout, typography (including label placement) Required reading about gestalt principles on Moodle and blog posts by Lisa Charlotte Rost about use of colour for data visualisation. 5. Idioms for networks and trees Textbook chapter 9 and scans from Kirk 2019 on Moodle. 6. Table idioms 2 and repeating patterns Required reading about radar charts and repeating patterns and scans from Kirk 2019 on Moodle. 7. Map projections, map idioms (dot maps, proportional symbol maps, choropleth maps, area cartograms, flow maps). Required readings by axismap and scans from Kirk 2019 on Moodle. 8. Scalar field visualisation/terrain visualisation (contour lines, shaded relief, colour mapping, line integral convolution), web maps 9. Data classification, interactive visualisation Textbook chapter sections 6.5 and 6.7, required readings by axismaps and Lisa Charlotte Muth on classification on Moodle. 10. Animation for data visualisation and tools for creating visualisations 11. Immersive data visualisation (mixed reality continuum, virtual reality and augmented reality)
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